Matias Quiroz

About

Matias Quiroz is a scholar working on Artificial Intelligence, Statistics and Probability and Ecology. According to data from OpenAlex, Matias Quiroz has authored 15 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 2 papers in Ecology. Recurrent topics in Matias Quiroz’s work include Markov Chains and Monte Carlo Methods (6 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Matias Quiroz is often cited by papers focused on Markov Chains and Monte Carlo Methods (6 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Matias Quiroz collaborates with scholars based in Australia, Sweden and United States. Matias Quiroz's co-authors include Robert Kohn, Mattias Villani, Minh‐Ngoc Tran, Gita R. Kolluru, Kimberly Y. Lin, Gregory F. Grether, Scott A. Sisson, David J. Nott, Katherine R. O’Brien and Eve McDonald‐Madden and has published in prestigious journals such as Journal of the American Statistical Association, Functional Ecology and Environmental Modelling & Software.

In The Last Decade

Co-authorship network of co-authors of Matias Quiroz i

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Fields of papers citing papers by Matias Quiroz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matias Quiroz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matias Quiroz. The network helps show where Matias Quiroz may publish in the future.

Countries citing papers authored by Matias Quiroz

Since Specialization

Citations

This map shows the geographic impact of Matias Quiroz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matias Quiroz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matias Quiroz more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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